Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data
Efficient parallel extraction of crack-free isosurfaces from adaptive mesh refinement (AMR) data
复制标题
从自适应网格细化 (AMR) 数据中高效并行提取无裂纹等值面
DOI：
10.1109/ldav.2012.6378973
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
J. Meredith
中科院分区：
文献类型：
--
作者：
G. Weber;H. Childs;J. Meredith
We present a novel extraction scheme for crack-free isosurfaces from adaptive mesh refinement (AMR) data that builds on prior work utilizing dual grids and filling resulting gaps with stitch cells. We use a case-table-based approach to simplify the implementation of stitch cell generation. The most significant benefit of our new approach is that it uses ghost data to handle parallel isosurface extraction efficiently. We further present the results of applying this method to large scale data sets and analyze its computation time on parallel high-performance computing (HPC) platforms.
